Oracle Life Sciences is seeking a Data Analyst to join the Oncology team. This on-site role focuses on survey data and complex datasets to deliver high-quality outputs that support oncology market insights and strategic decision-making.
Responsibilities include familiarizing with physician surveys and oncology datasets, inputting key data points into models and deliverables, and performing rigorous data quality checks to ensure outputs reflect source data. You will work collaboratively to improve consistency, efficiency, and trust across team workflows.
Oracle Life Sciences is seeking a Data Analyst to join the Oncology team. This on-site role focuses on survey data and complex datasets to deliver high-quality outputs that support oncology market insights and strategic decision-making.
Responsibilities include familiarizing with physician surveys and oncology datasets, inputting key data points into models and deliverables, and performing rigorous data quality checks to ensure outputs reflect source data. You will work collaboratively to improve consistency, efficiency, and trust across team workflows.
Qualifications: - Bachelor’s degree in a scientific field (life sciences, public health, data analytics, mathematics, or related) - Experience in oncology or healthcare/life sciences data - Experience with epidemiology datasets - Excellent attention to detail and commitment to data accuracy - Strong organizational skills and ability to manage multiple tasks and deadlines - Proficiency with Microsoft Excel and PowerPoint
Nice-to-have: - Advanced Excel skills - SQL - Tableau or other data visualization tools - Python or similar coding tools - Familiarity with Codex or AI-assisted coding/workflow tools - Experience with structured datasets, data QC, analytics projects
Key traits for success: - Curiosity, attention to detail, high level of organization - Creative problem solving - Flexibility, adaptability, and ability to pivot as priorities change - Collaborative team player in a trust-based, execution-focused environment
Why Oracle Life Sciences? - Join a collaborative oncology team where your work will contribute to data
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Qualifications: - Bachelor’s degree in a scientific field (life sciences, public health, data analytics, mathematics, or related) - Experience in oncology or healthcare/life sciences data - Experience with epidemiology datasets - Excellent attention to detail and commitment to data accuracy - Strong organizational skills and ability to manage multiple tasks and deadlines - Proficiency with Microsoft Excel and PowerPoint
Nice-to-have: - Advanced Excel skills - SQL - Tableau or other data visualization tools - Python or similar coding tools - Familiarity with Codex or AI-assisted coding/workflow tools - Experience with structured datasets, data QC, analytics projects
Key traits for success: - Curiosity, attention to detail, high level of organization - Creative problem solving - Flexibility, adaptability, and ability to pivot as priorities change - Collaborative team player in a trust-based, execution-focused environment
Why Oracle Life Sciences? - Join a collaborative oncology team where your work will contribute to data
Track similar jobs
Get email alerts when new roles like this are posted.
Based on: Data Analyst
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© 2026 JobMatcher. All rights reserved.
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